Koji Nakano 研究室

主宰者：Koji Nakano

広島大学

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（66 件）

[2026] MOrbVis: Browser-Based Molecular Orbital Visualization with WebGPU-Accelerated On-the-Fly Evaluation
DOI: https://doi.org/10.1021/acsomega.6c04162
[2026] Preface: Special issue on the Thirteenth International Symposium on Networking and Computing
DOI: https://doi.org/10.15803/ijnc.16.2_76
[2025] A penalty-free QUBO formulation for the minimum maximal matching problem
DOI: https://doi.org/10.1080/17445760.2025.2579546
[2025] Predicting the Cooling Rate in Steel-Part Heat Treatment via Random Forests
DOI: https://doi.org/10.3390/app152111676
[2025] Efficient GPU Implementations of Three‐Center Two‐Electron Repulsion Integrals
DOI: https://doi.org/10.1002/cpe.70328
[2025] Variability of manual patch clamp data on Ca 1.2 and Na 1.5 channels generated using standardized protocols and following ICH S7B Q&A 2.1 best practices – Progress update of a HESI-coordinated multi-laboratory study
DOI: https://doi.org/10.1016/j.vascn.2025.107808
[2025] Variability of manual patch clamp hERG data generated using standardized protocols and following ICH S7B Q&A 2.1 best practices
DOI: https://doi.org/10.1016/j.vascn.2025.107801
[2025] Shortening and optimization of MEF2C and GATA4 promote cardiac reprogramming
DOI: https://doi.org/10.1016/j.bbrc.2025.152511
[2025] Multi-laboratory comparisons of manual patch clamp hERG data generated using standardized protocols and following ICH S7B Q&A 2.1 best practices
DOI: https://doi.org/10.1038/s41598-025-15761-8
[2025] Optimizing Heat Treatment Schedules via QUBO Formulation
DOI: https://doi.org/10.3390/app15168847

続きを表示（残り 56 件）

[2025] QUBO++: A C++ Library for Developing and Solving QUBO Problems
DOI: https://doi.org/10.1109/ipdpsw66978.2025.00097
[2025] CUBO-to-QUBO Conversion: Reducing Cubic Formulations to Quadratic Formulations
DOI: https://doi.org/10.1109/ipdpsw66978.2025.00096
[2025] GPU-Accelerated Fock Matrix Computation with Efficient Reduction
DOI: https://doi.org/10.3390/app15094779
[2025] Efficient GPU Implementation of the McMurchie–Davidson Method for Shell-Based ERI Computations
DOI: https://doi.org/10.3390/app15052572
[2025] Effectively encoding satisfiability problems into quadratic unconstrained binary optimization models for quantum computing
DOI: https://doi.org/10.1080/17445760.2025.2472205
[2025] Ising Models for Solving the N‐Queens Puzzle Based on the Domain‐Wall Vectors
DOI: https://doi.org/10.1002/cpe.8364
[2024] Cardiac Reprogramming and Gata4 Overexpression Reduce Fibrosis and Improve Diastolic Dysfunction in Heart Failure With Preserved Ejection Fraction
DOI: https://doi.org/10.1161/circulationaha.123.067504
[2024] Effectively encoding satisfiability problems into Ising models for quantum annealing
DOI: https://doi.org/10.1080/17445760.2024.2441215
[2024] Designing unit Ising models for logic gate simulation through integer linear programming
DOI: https://doi.org/10.1080/17445760.2024.2438043
[2024] Parallel GPU Computation of Nuclear Attraction Integrals in Quantum Chemistry
DOI: https://doi.org/10.1109/candarw64572.2024.00033
[2024] Dynamic Screening of Two-Electron Repulsion Integrals in GPU Parallelization
DOI: https://doi.org/10.1109/candarw64572.2024.00041
[2024] GPU Acceleration of Head-Gordon-Pople Algorithm
DOI: https://doi.org/10.1109/candar64496.2024.00021
[2024] Breaking SHA-1 through QUBO models
DOI: https://doi.org/10.1109/candarw64572.2024.00042
[2024] GPU Acceleration of the Boys Function Evaluation in Computational Quantum Chemistry
DOI: https://doi.org/10.1002/cpe.8328
[2024] Mitochondrial Structural Abnormalities and Cardiac Reverse Remodeling in Patients With Systolic Dysfunction
DOI: https://doi.org/10.1253/circj.cj-24-0451
[2024] Development of adeno-associated viral vectors targeting cardiac fibroblasts for efficient in vivo cardiac reprogramming
DOI: https://doi.org/10.1016/j.stemcr.2024.08.002
[2024] Generating hard quadratic unconstrained binary optimization instances via the method of combining bit reduction and duplication technique
DOI: https://doi.org/10.1080/17445760.2024.2376928
[2024] Introduction to Computational Quantum Chemistry for Computer Scientists
DOI: https://doi.org/10.1109/ipdpsw63119.2024.00066
[2024] APDCM 2024 Preface and Committee List
DOI: https://doi.org/10.1109/ipdpsw63119.2024.00055
[2024] The Logarithmic Random Bidding for the Parallel Roulette Wheel Selection with Precise Probabilities
DOI: https://doi.org/10.1109/ipdpsw63119.2024.00065
[2024] Preface: Special issue on the Eleventh International Symposium on Networking and Computing
DOI: https://doi.org/10.15803/ijnc.14.2_107
[2023] MEF2C/p300-mediated epigenetic remodeling promotes the maturation of induced cardiomyocytes
DOI: https://doi.org/10.1016/j.stemcr.2023.05.001
[2023] Efficient GPU-Accelerated Bulk Evaluation of the Boys Function for Quantum Chemistry
DOI: https://doi.org/10.1109/candar60563.2023.00014
[2023] Solving the N-Queens Puzzle by a QUBO Model with Quadratic Size
DOI: https://doi.org/10.1109/candar60563.2023.00015
[2023] Bit duplication technique to generate hard quadratic unconstrained binary optimization problems with adjustable sizes
DOI: https://doi.org/10.1002/cpe.7967
[2023] Cardiac reprogramming reduces inflammatory macrophages and improves cardiac function in chronic myocardial infarction
DOI: https://doi.org/10.1016/j.bbrc.2023.149272
[2023] Abstract 12159: Heart Generation via Blastocyst Complementation in Mesp1/2-Deficient Mice
DOI: https://doi.org/10.1161/circ.148.suppl_1.12159
[2023] Abstract 13767: Cardiac Reprogramming Reduces Fibrosis and Improves Diastolic Dysfunction in Heart Failure With Preserved Ejection Fraction
DOI: https://doi.org/10.1161/circ.148.suppl_1.13767
[2023] Dual-Matrix Domain Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes
DOI: https://doi.org/10.3390/technologies11050143
[2023] Flk1 Deficiency and Hypoxia Synergistically Promote Endothelial Dysfunction, Vascular Remodeling, and Pulmonary Hypertension
DOI: https://doi.org/10.1161/atvbaha.123.319266
[2023] Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs
DOI: https://doi.org/10.1109/ipdpsw59300.2023.00060
[2023] DUPAN-2 as a Risk Factor of Early Recurrence After Curative Pancreatectomy for Patients With Pancreatic Ductal Adenocarcinoma
DOI: https://doi.org/10.1097/mpa.0000000000002209
[2023] Preface: Special issue on the Tenth International Symposium on Networking and Computing
DOI: https://doi.org/10.15803/ijnc.13.2_92
[2022] Bit duplication technique to generate hard QUBO problems
DOI: https://doi.org/10.1109/candarw57323.2022.00029
[2022] Direct Reprogramming Improves Cardiac Function and Reverses Fibrosis in Chronic Myocardial Infarction
DOI: https://doi.org/10.1161/circulationaha.121.058655
[2022] Graphics processing unit‐accelerated high‐quality watercolor painting image generation
DOI: https://doi.org/10.1002/cpe.7471
[2022] GPU implementations of deflate encoding and decoding
DOI: https://doi.org/10.1002/cpe.7454
[2022] Message from the Organizers: CANDAR 2022
DOI: https://doi.org/10.1109/candar57322.2022.00005
[2022] A benchmark QUBO problem inspired by digital halftoning based on the human visual system
DOI: https://doi.org/10.1109/candar57322.2022.00015
[2022] A Bokeh Image Generation Technique using Machine Learning
DOI: https://doi.org/10.1109/candar57322.2022.00020
[2022] ConvUNeXt: A Lightweight Convolutional Neural Network for Watercolor Image Translation
DOI: https://doi.org/10.1109/candarw57323.2022.00033
[2022] Maximum Diameter of the Gallbladder Determined Presurgically Using Computed Tomography as a Risk Factor for Difficult Emergency Laparoscopic Cholecystectomy in Patients With Mild to Moderate Acute Cholecystitis
DOI: https://doi.org/10.1097/sle.0000000000001093
[2022] Prognostic significance of intrahepatic lymphatic invasion in colorectal liver metastases
DOI: https://doi.org/10.1016/j.anndiagpath.2022.152026
[2022] Graph-theoretic Formulation of QUBO for Scalable Local Search on GPUs
DOI: https://doi.org/10.1109/ipdpsw55747.2022.00080
[2022] Optimal Triangulation on the High Bandwidth Memory Model
DOI: https://doi.org/10.1109/ipdpsw55747.2022.00089
[2022] GPU-accelerated scalable solver with bit permutated cyclic-min algorithm for quadratic unconstrained binary optimization
DOI: https://doi.org/10.1016/j.jpdc.2022.04.016
[2022] Nonlinear propagation effect in x-ray parametric amplification during high harmonic generation
DOI: https://doi.org/10.1364/josab.454902
[2022] Preface: Special issued on the Ninth International Symposium on Networking and Computing
DOI: https://doi.org/10.15803/ijnc.12.2_237
[2021] On the Computational Power of Convolution Pooling: A Theoretical Approach for Deep Learning
DOI: https://doi.org/10.1109/ipdpsw52791.2021.00100
[2021] Preface: Special Issue on the Eighth International Symposium on Networking and Computing
DOI: https://doi.org/10.15803/ijnc.11.2_120
[2021] Simple iterative trial search for the maximum independent set problem optimized for the GPUs
DOI: https://doi.org/10.1002/cpe.6681
[2021] Solving the sparse QUBO on multiple GPUs for Simulating a Quantum Annealer
DOI: https://doi.org/10.1109/candar53791.2021.00011
[2021] A GPU Implementation of Watercolor Painting Image Generation
DOI: https://doi.org/10.1109/candarw53999.2021.00031
[2021] Acceleration of Deflate Encoding and Decoding with GPU implementations
DOI: https://doi.org/10.1109/candarw53999.2021.00036
[2021] High‐throughput FPGA implementation for quadratic unconstrained binary optimization
DOI: https://doi.org/10.1002/cpe.6565
[2021] A novel structured sparse fully connected layer in convolutional neural networks
DOI: https://doi.org/10.1002/cpe.6213

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AI 要約（直近 5 年の研究成果）

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研究成果（66 件）

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